cfit extract normalization mean and std

24 次查看（过去 30 天）
Tony Tse
Tony Tse 2018-1-31
回答： Tobias Held 2022-1-5
Hello,
I am fitting a rational function to some data, in my case x varies over many orders of magnitude, so I used to 'Normalize' option when fitting. There is a normalization mean and std to the x, how do I extract that? There isn't a public method to cfit for this as far as I know.
I have attached the fit function in question. The values I am interest in are:
where x is normalized by mean 6.21e+05 and std 1.65e+06

请先登录，再回答此问题。

采纳的回答

Maeri
Maeri 2019-5-6
In the cfit source code, the mean and std are private variables, and there exists no access function as for coeffvalues.
Thus I don't think there is a way to access mean and std. A work around is just taking mean and std of your xdata input.

更多回答（1 个）

Tobias Held
Tobias Held 2022-1-5
I would like to share my code for the answer from @Maeri, thank you I was looking for this!
Add this to your Fit function.
[fitresult,norm, gof] = createFitNom(xData, yData)
[...]
% Save Normalize values
[x,mean,std] = normalize(xData);
norm.mean = mean;
norm.std = std;
[...]
end
I am not yet sure if a struct is a good data type for this, but the idea should be clear now.

类别

在 Help Center 和 File Exchange 中查找有关 Curve Fitting Toolbox 的更多信息

标签

产品

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by